000 | 01892 a2200229 4500 | ||
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005 | 20181003124638.0 | ||
008 | 181003b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780128131381 | ||
040 | _cIIT Kanpur | ||
041 | _aeng | ||
082 |
_a551.220727 _bC738 |
||
245 |
_aComplexity of seismic time series _bmeasurement and application _cedited by Tamaz Chelidze, Filippos Vallianatos and Luciano Telesca |
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260 |
_bElsevier _c2018 _aAmsterdam |
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300 | _axxiii, 522p | ||
520 | _aComplexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. The book summarizes both advances and applications in the field, thus meeting the needs of both fundamental and practical seismology. Merging the needs of the classical field and the very modern terms of complexity science, this book covers theory and its application to advanced nonlinear time series tools to investigate Earth’s vibrations, making it a valuable tool for seismologists, hazard managers and engineers. Covers the topic of Earth’s vibrations involving many different aspects of theoretical and observational seismology Identifies applications of advanced nonlinear time series tools for the characterization of these Earth’s signals Merges the needs of geophysics with the applications of complexity theory Describes different methodologies to analyze problems, not only in the context of geosciences, but also those associated with different complex systems across disciplines | ||
650 | _aSeismology -- Statistical methods | ||
650 | _aTime-series analysis | ||
700 | _aChelidze, Tamaz [ed.] | ||
700 | _aVallianatos, Filippos [ed.] | ||
700 | _aTelesca , Luciano [ed.] | ||
942 | _cBK | ||
999 |
_c559648 _d559648 |